Record the following transactions in the journal of Capital Project Fund and
Governmental Activities. (You must prepare the journal form using Excel)

1. A capital projects fund issued $10,000,000, 5 percent bonds for $10,100,000 to finance the
construction of a little league baseball park. Premiums received are to be used to service the
debt issue.

2. The Parks and Recreation Special Revenue Fund transferred $300,000 for use in construction.

3. A construction contract was awarded in the amount of $10,200,000.

4. A bill was received from the contractor for $5,100,000

.
5. The contractor bill is paid, and 6% retain is withheld.

6. The park renovations were completed and the final bill of $5,100,000 was received. The
contractor bill and retained are approved for payment in full. Total construction expenditures
were allocated as follows: $960,000,000 to building, and the remainder to equipment.

7. The capital projects fund temporary accounts were closed, and the capital projects fund was
closed by transferring remaining funds to the debt service fund for use in debt repayment.

1. Problem 10-07 (Algorithmic)

   Aggie Power Generation supplies electrical power to residential customers for many U.S. cities. Its main power generation plants are located in Los Angeles, Tulsa, and Seattle. The following table shows Aggie Power Generation's major residential markets, the annual demand in each market (in megawatts or MWs), and the cost to supply electricity to each market from each power generation plant (prices are in $/MW).

   Distribution Costs
   City	Los Angeles	Tulsa	Seattle	Demand (MWs)
   Seattle	$364.25	$601.75	$67.38	958.00
   Portland	$367.25	$604.75	$189.13	842.25
   San Francisco	$166.13	$463.00	$284.88	2363.00
   Boise	$341.25	$460.00	$281.88	578.75
   Reno	$241.50	$479.00	$360.25	954.00
   Bozeman	$428.63	$428.63	$309.88	506.15
   Laramie	$367.25	$426.63	$367.25	1198.50
   Park City	$375.25	$375.25	$494.00	622.25
   Flagstaff	$238.13	$535.00	$653.75	1178.19
   Durango	$363.25	$303.88	$600.75	1472.25

   1. If there are no restrictions on the amount of power that can be supplied by any of the power plants, what is the optimal solution to this problem? Which cities should be supplied by which power plants? What is the total annual power distribution cost for this solution? If required, round your answers to two decimal places.
      
      The optimal solution is to produce  MWs in Los Angeles,  MWs in Tulsa, and  MWs in Seattle. The total distribution cost of this solution is $  .
      
   2. If at most 4000 MWs of power can be supplied by any one of the power plants, what is the optimal solution? What is the annual increase in power distribution cost that results from adding these constraints to the original formulation? If required, round your answers to two decimal places.
      
      The optimal solution is to produce  MWs in Los Angeles,  MWs in Tulsa, and  MWs in Seattle. The total distribution cost of this solution is $  . The increase in cost associated with the additional constraints is $  .

Total Snowfall and Number of Visitors at Yellowstone National Park

The table above shows the total snowfall (in inches) and the number of visitors to Yellowstone National Park during 18 randomly selected weeks. (Show all calculations)

1. Based on the variables involved in this relationship which variable do you think is the explanatory (x) variable and which is the response (y) variable?

2. Calculate the correlation between the two variables. r=

3. Interpret the full meaning of the correlation coefficient you calculated in #2, including direction, strength, and relationship between variables.

4. Calculate the average and SD for the variable you chose as the explanatory variable.

Average =

SD =

5. Calculate the average and SD for the variable you chose as the response variable.

Average=

SD=

6. Find the equation of the regression line that fits your data. Show all calculation.

7. Interpret the meaning of the slope of your regression model from question #6

8. Interpret the meaning of the y-intercept of your regression model from question #6. If there is no practical meaning, explain why.

9. Demonstrate how someone might use the regression model you found in question #6 to predict the value of a response variable. That is, plug a hypothetical x-value in your model and explain what it predicts.

1. Identify the differences between all four market structures in the short-run and long-run. This will be helpful as many of you may hold management positions and/or become entrepreneurs in the near future. When deciding what type of firm to own or operate, you may find that one market structure may be more advantageous over another based on short-run and long-run costs.  
2. Explain the significance that the average total cost (ATC) curve has on profit and loss based on each type of market structure. Explore how the ATC curve affects all four market structures and identify whether firms will earn a profit or loss based on the placement of the ATC curve and price.

Michael Wilson entered into a new business, hotel ownership, by buying a small 24 room hotel and café. The hotel is located in a remote area of Minnesota that is popular for tourists. Michael has hired you for advice.

Michael hired a young couple to run the hotel and café on a daily basis and plans to pay them a monthly salary. They will live for free in a small apartment adjacent to the office. The couple will be responsible for hiring and supervising five part-time personnel who will help with cleaning the rooms, cooking, waiting on customers in the café. The couple will maintain records of rooms rented, meals served, and payments received. They will also make weekly deposits.

Mike is concerned about his lack of control over the records and operations. Mike lives 5 hours away and will only be able to make periodic visits. Mike trusts the couple but wonders if it makes sense to place so much trust in employees.

Mike needs your help to identify possible ways that his motel and café could be defrauded and especially wants assistance to devise creative internal controls to help prevent or detect fraud.

Required

1. What are your two biggest concerns related to possible fraud for the hotel part of the business.   For each concern describe two controls that could reduce the risk.
2. What are your two biggest concerns related to the café part of the business. For each concern describe to controls to reduce risk.

1. Suppose that there are only three people that live in a (very) small town: Eric, Greg, and Katie. The town is thinking of building a park which you can assume is a public good for these three individuals in the town. Based on the individuals’ demand schedules for the park, which are given below, calculate and graph the social marginal benefit curve for the park.

b. Assume that the supply curve for the park is shown in the following chart. Graph this supply curve on your graph from part b. What is the socially optimal size of the park (in acres)?

any have SWOT for shangrila hotel?

.

WHAT IS A LUXURY HOTEL? WHY DO THEY CHARGE A HIGHER PRICE THAN OTHER HOTELS? WHY DO CUSTOMERS PAY THIS HIGHER PRICE? WHAT IS YOUR EXPERIENCE OF A LUXURY HOTEL? DISCUSS WITH REAL LIFE EXAMPLES

WRITE AN ESSAY OF 500 - 1000 IN YOUR WORDS COVERING ALL THESE QUESTIONS AND POST YOUR ANSWER DIRECTLY ON SCHOOLOGY, THANK YOU.